peterth3

That’s definition #2 with #1 being:

> a man who presents a child at baptism and promises to take responsibility for their religious education.

So, the original definition is a gendered and religious term.

Sounds silly to me. Especially in this context.

Sorry, who’s “they” here? The incumbents OpenAI / DeepMind / Anthropic?

Can we stop labeling prominent AI researchers as “AI Godfather”? It’s so silly and barely truthful.

The concept of AI has been around since Turing and if anyone deserves a title like “Father of AI” it’s him.

LeCun is Chief AI Scientist at Meta. They can just leave it at that.

Licensing can definitely turn into regulatory capture if it expands enough. It’s effectively a barrier to entry defined by the incumbent.

Glad to hear we’re not the only ones having an emergency LangChain hackathon.

So far what we’ve been able to build feels brittle. But, LLMs are fun to play with though

Why does Bing AI sign every message with an emoji?

ChatGPT doesn’t do it and it comes off so strange.

How well GPTZero can detect ChatGPT generated text by measuring perplexity (how random the words choices are) and burstiness (how diverse the sentence structure is) shows that whatever algorithm our brain uses has stronger creative capabilities than this LLM.

GPT-3.5 isn’t a great writer like AlphaGo is a great go player. Maybe one day AI will generate better scripts and novels than humans, but not this model.

Medium-quality writing is ok for informative content though, but it’s problematic when the model doesn’t know fact from fiction. That’s the important complaint.

Is it dangerous? Maybe.

But is it useful? Not if it’s wrong too often.

You’re right that this tech should be taken seriously, but so should the hallucination problems. These problems can be solved. And maybe they should be solved before anyone trusts it with serious questions.

> We're predisposed to seeing meaning, and perhaps "intelligence", everywhere.

I’m guilty of this with my dog. I can’t help it with her head tilts and deep stares! Her inner monologue is probably less sophisticated than I like to think it is.

Yes on all three points! Especially search. Notion’s search is so painfully slow. Whenever I try to link a row to another row the loader sounds for 2+ secs, even if I’m searching a table with <10 rows.

The first use case in the demo is generating a blog post, so I’d assume that they’re trying to win the “cynical marketers wanting to use GPT-3 to churn out keyword nonsense to game Google Search” market. I know of some marketing teams that use notion for content management.